Evidence map›Paper›PMID 36354729›Full record

ReviewCurrent oncology (Toronto, Ont.)2022

#COVID19 and #Breastcancer: A Qualitative Analysis of Tweets.

Gayathri Naganathan, Idil Bilgen, Jordan Cleland, Emma Reel, Tulin Cil

Abstract readReview
In one paragraph

Review in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. #TreatmentResistantDepression: A qualitative content analysis of Tweets about difficult-to-treat depression.Health expectations : an international journal of public participation in health care and health policy · 2023
    Review
  10. Article
  11. Cancer misinformation on social media.CA: a cancer journal for clinicians
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gayathri NaganathanDepartment of Surgery, University of Toronto, Toronto, ON M5T 1P5, Canada.
Idil BilgenKoç University School of Medicine, Istanbul 34450, Turkey.
Jordan ClelandDivision of General Surgery, Department of Surgery, University Health Network, Toronto, ON M5G 2C4, Canada.
Emma ReelDivision of General Surgery, Department of Surgery, University Health Network, Toronto, ON M5G 2C4, Canada.
Tulin CilDepartment of Surgery, University of Toronto, Toronto, ON M5T 1P5, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and efficient communication regarding quickly evolving medical information was paramount for healthcare providers and patients throughout the COVID-19 pandemic. Over the last several years, social media platforms such as Twitter have emerged as important tools for health promotion, virtual learning among healthcare providers, and patient support. We conducted a qualitative thematic content analysis on tweets using the hashtags #BreastSurgery, #BreastCancer, #BreastOncology, #Pandemic, and #COVID19. Advocacy organizations were the most frequent authors of tweets captured in this dataset, and most tweets came from the United States of America (64%). Seventy-three codes were generated from the data, and, through iterative, inductive analysis, three major themes were developed: patient hesitancy and vulnerability, increased efforts in knowledge sharing, and evolving best practices. We found that Twitter was an effective way to share evolving best practices, education, and collective experiences among key stakeholders. As Twitter is increasingly used as a tool for health promotion and knowledge translation, a better understanding of how key stakeholders engage with healthcare-related topics on the platform can help optimize the use of this powerful tool.

Indexed as

Breast NeoplasmsCOVID-19Social MediaFemaleHumansPandemicsUnited Statesbreast cancerCOVID-19healthpandemicTwitter

Identifiers

PMID36354729
PMCPMC9689212

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.